{"id":"W7100364834","doi":"","title":"Toronto, Ontario L.M. Gibson","year":2013,"lang":"en","type":"article","venue":"","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Reflexivity; Focus (optics); Outcome (game theory); Relation (database)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009630851,0.00007505269,0.0001550947,0.00002663757,0.00004484435,0.0000744743,0.0001088682,0.00004239056,0.1459169],"category_scores_gemma":[0.000003540926,0.00007363489,0.00005728606,0.00003468181,0.00001261842,0.0003644461,0.00002189886,0.0000520506,0.006449329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714549,"about_ca_system_score_gemma":0.00001151123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4843989,"about_ca_topic_score_gemma":0.1737421,"domain_scores_codex":[0.999357,5.873104e-7,0.0002702367,0.0001758346,0.0000163307,0.0001799617],"domain_scores_gemma":[0.9996207,0.00000420525,0.00008057905,0.000213086,0.0000168747,0.00006449973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001268482,0.00004352132,0.5342646,0.000004262272,0.00002362262,7.417881e-7,0.0004171467,0.00003427715,0.000003311398,0.4193194,0.04379961,0.002088283],"study_design_scores_gemma":[0.0001261127,0.00002555747,0.3875673,0.000001738407,0.00000105012,0.000001074315,0.00003508506,0.003923283,0.00001176585,0.01038662,0.5977669,0.0001534811],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2986643,0.0006187822,0.0006418705,0.0002925297,0.0002769683,0.00008440465,0.000002993497,0.00002503899,0.6993932],"genre_scores_gemma":[0.869168,0.00007020144,0.0004271809,0.0005137216,0.00006462828,0.00001157306,0.000004387266,0.000007810938,0.1297325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5705037,"threshold_uncertainty_score":0.9943243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120610970436507,"score_gpt":0.1768741579104698,"score_spread":0.1556680482061048,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}